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Tuesday, November 3, 2026

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Even if the AI model Nubeva Technologies $NBVAF (TSXV: $NBVA) is training to read malware binaries (compiled programs) works, six risks could keep it from paying off: → Labs closing the gap: OpenAI’s GPT-6 Astra nearly doubled GPT-5.6-sol’s score on SRE-Bench, a Columbia University-led test of AI models on reading binaries, within a month of SRE-Bench’s release, and Anthropic says its Claude Mythos Preview model can already reconstruct plausible source code from stripped binaries. The better the labs’ own models get at reading hard binaries, the less they need to pay for outside labels. → Big tech building in-house: Microsoft’s $MSFT Project Ire reverse engineers software files on its own to decide whether they’re malicious. Ire caught only about a quarter of the malware among nearly 4,000 hard-to-classify files in a test Microsoft described in August 2025. But in June 2026, Microsoft said Ire flagged a new malware sample that most major security products, including CrowdStrike’s $CRWD and SentinelOne’s $S, still missed. Google $GOOGL already owns VirusTotal and Mandiant, so the likelier customers are labs that don’t own a malware-scanning site or an incident-response firm already, like OpenAI and Anthropic. → Paid like a contractor: Data labeling companies (firms that turn experts’ knowledge into training data for AI labs) pay 60-70% of what they bill to their contractors, and Scale AI is already recruiting its own malware analysts. So a data labeling company could pay Nubeva by the hour or task, or hire analysts itself, instead of licensing the model or buying the company. → Selling labels teaches the buyer: Every binary Nubeva labels helps the buyer’s model learn the same skill, the reason CEO Randy Chou gave for not patenting how Nubeva reads binaries. So each sale could shrink the edge Nubeva is selling. → Cash and compute: Chou gave no cost for running “hundreds and thousands” of AI agents on a private model. For reference, Nubeva spent $714,772 on R&D in FY2026, equal to 28.7% of its $2.49M in cash as of April 30, 2026. → Missed targets: Nubeva’s AI decryptor builder missed four targets starting in August 2023, so “days and weeks” (Chou’s timeline for the model) is a target, not a result just yet. So even with a working model, Nubeva still has to (1) sign a contract before the labs can read the hardest binaries themselves, (2) get paid for its model and engineers instead of by the hour or task, and (3) fund the training without draining its cash.

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Initiation Report

Nine Mile Metals is initiated under research coverage.

VMSXF $15M
Atrium Research - Equity Research 1 click

TSOH Weekly Roundup (10/30/2026)

Markel spent $315 million repurchasing shares in Q3 as Thrive agreed to buy ADT for $7.6 billion and Hasbro cited rising adult toy demand.

BBW $363M
TSOH Investment Research 1 click

OSS Q3 FY12/26 Earnings Analysis

One Stop Systems grew Q3 continuing-operations revenue 36% to $12.6 million, raised FY2026 revenue guidance to $45 million, and used $11.8…

OSS $129M
Cestrian Capital Research 1 click
ONT · long

Onterris INC

Onterris, formerly Montrose Environmental Group, trades at 8.6x next-12-month EBITDA as an environmental consulting and response services…

ONT $553M
Value Investors Club 1 click

Namib Minerals: Research Flash

Namib Minerals’ How Mine mill reached 55,000 tonnes per month, 36% above prior capacity, while a proposed $30 million Ecobank facility…

NAMM $43M
Atrium Research - Equity Research 2 clicks

Bimergen Energy: Research Flash

Bimergen Energy filed for a Texas retail-power license to supply data centers directly and gained eligibility for federal contracts through…

BESS $19M
Atrium Research - Equity Research 3 clicks

Unicycive (UNCY):

Unicycive’s oxylanthanum carbonate NDA earned a March 25, 2027 PDUFA date after two manufacturing-related rejections, with no FDA clinical…

UNCY $104M
Triple S Special Situations Investing 4 clicks

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